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Dr Ghanshyam Pandey, an Assistant Professor at the Department of Economics, has been invited to deliver a talk on Risk Management and Sustainability on January 25, 2024, at the Department of Economics and Finance, BITS Pilani K K Birla Goa Campus.

Dr Pandey is a distinguished member of SRM University-AP’s teaching faculty and an accomplished economist with numerous publications to his credit. He has led several prestigious government-sponsored projects and is the Principal Investigator for the NABARD-sponsored project titled, “Tenancy and Credit: Exploring Facts below the Crust in AP”.

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We are pleased to announce the publication of an insightful article titled “From Incumbency to Dominance: BJP’s Electoral Prowess in Madhya Pradesh,” in the prestigious ABDC-B journal, Economic and Political Weekly (EPW). This article, authored by Dr Vineeth Thomas, Assistant Professor in the Easwari School of Liberal Arts provides a comprehensive analysis of the BJP’s journey from being an incumbent party to establishing dominance in the state’s political landscape.

Dr Thomas examines the factors that have contributed to the BJP’s electoral success in Madhya Pradesh, including the party’s organisational strength, leadership, and strategic alliances. The article also delves into the impact of various government policies and initiatives on the BJP’s electoral performance in the state.

Dr Thomas’s expertise in political analysis and his meticulous approach to the subject matter make this article a significant contribution to the scholarly discourse on Indian politics, particularly within the context of Madhya Pradesh. This research also enriches our understanding of contemporary political landscapes and aligns with our commitment to academic excellence.

Congratulations to Dr Vineeth Thomas for this impactful contribution to political scholarship!

Abstract

In the 2023 Madhya Pradesh Assembly election, the Bharatiya Janata Party (BJP) emerged victorious with a landslide majority. This electoral triumph, characterised by a significant mandate for the BJP, has undoubtedly reshaped the political dynamics of Madhya Pradesh. The landslide victory underscores the party’s stronghold in the region and signals a decisive mandate for the BJP to govern the state for the designated term. In this context, this article analyses various strategic factors that cleared the BJP’s path from incumbency to dominance in Madhya Pradesh.

Explanation of Research in Layperson’s Terms

In the dynamic landscape of Indian politics, Madhya Pradesh stands as a crucible of electoral battles, where the ebb and flow of political tides have shaped the destiny of the state. At the heart of this electoral competition lies the Bharatiya Janata Party (BJP), an entity that has not only weathered the storm of time but has also evolved from being a political contender to establishing unwavering dominance in Madhya Pradesh.

The 2023 Madhya Pradesh Assembly election results revealed a clear mandate in favour of the BJP, securing an impressive 164 out of the total 230 seats. The overwhelming success is underscored by its triumph across different regions of the state. This comprehensive victory is particularly pronounced in the Malwa-Nimar region, which holds significant tribal populations. In this crucial area with 66 seats, the BJP secured a dominant 45 seats, leaving the Congress trailing with 20 seats, while the Bahujan Adhikar Party (BAP) clinched a lone seat. The BJP’s prowess is further evident in the Bundelkhand region, where it nearly swept the electoral landscape, securing 21 out of 26 seats, while the Congress was left with just five. Similarly, in the Vindhya region, the BJP emerged victorious in 25 out of 30 seats, leaving the Congress with a mere five. This regional dominance is a testament to the party’s strategic appeal and resonant policies. The saffron wave extended to Madhya Bharat, where the BJP outshone the Congress by winning a staggering 33 out of 36 seats (Malpani,2023). This substantial margin of victory indicates not only the party’s organisational strength but also its ability to connect with the electorate on a regional level.

So, how did the BJP complete the journey from a party in power to a political behemoth that has left an indelible mark on the state’s political canvas? A close examination in this regard unravels the fact that it is the conglomeration of clearly designed multiple tactics which gave the BJP a winning formula in the 2023 Madhya Pradesh assembly elections

Title of the Research Paper in Citation Format

Saravanan, Vineeth & Avunii, From incumbency to dominance. (2024, January 5). Economic and Political Weekly.

Practical Implementation/ Social Implications of the Research

Policy makers and politicians can make prudent decision about one nation one election

Collaborations

Electoral Politics, ethics, commonwealth

Future research plans

Indian govt and politics

Link to the article

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The 1st Alumni Day of SRM University-AP, organised by the Directorate of Alumni Relations, was held in grand splendour on January 12, 2024. Alumni from near and far gathered at the campus with many attending the event virtually from all corners of the world. Vice Chancellor Prof. Manoj K Arora launched the auspicious day by lighting the lamp in the presence of Registrar Dr R Premkumar, Advisor Prof. V S Rao, Head of Alumni Relations Dr Srabani Basu and the participating alumni. The Student Alumni Relations Committee (SARC) was also launched on this day, further aiming to strengthen alumni association and engagement.

“You are the founding batches that have sowed the seeds for our institute to grow and develop into a premier university. You, our alumni, are significant stakeholders of our institution and with your intellect and expertise, the varsity can grow exponentially”, stated Prof. Manoj K Arora while addressing the alumni. He also presented an extensive report on the stellar growth of the university since its inception on academic, research, and entrepreneurial frontiers, emphasising the rise of SRM University-AP, as a world-class university. Deans and associate deans of all schools also led a brief presentation on the school/s accomplishments, development and proposed plan of action for the next five years.

Pro-Chancellor, Dr P Sathyanarayanan, in his virtual address to the alumni gathered to celebrate the splendid day, commented, “A campus is the embodiment of the present students’ aspirations and the cherished memories of its alumni. The alumni are true reflections of what we aim to do as a new-age university”. Numerous alumni also exhibited their deepest appreciation and gratitude towards their alma mater that has shaped their future and moulded them into the leaders, entrepreneurs, engineers and executives they are today.

The Alumni Day successfully concluded with cultural programmes, games and activities catered for the alumni to relive their campus experience, cherish past memories and create new ones. The event is a testament to the university’s advancements in fostering a symbiotic relationship with its alumni that would help the institute reach the pinnacle of growth and excellence.

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With the advent of the climate crisis, the use of the latest scientific technologies to develop methods for sustainable energy usage is pivotal. Dr Karthik Rajendran, Associate Professor, Department of Environmental Science and Engineering, his PhD scholar Mr Prabakaran G & UG Student Mr Nalluri Rishi Chaitanya Sri Prasad have filed and published a patent titled “A System and a Method for Building a Forecasting Model for Biogas Production” with Application No.: 202341074196, on their radical invention of predicting future biogas production using advanced Machine Learning techniques.

Abstract

The anaerobic digestion (AD) process poses challenges in maintaining process stability and time series-based prediction and forecasting due to the intricate nature of the system. Process instability is a consequence of the unpredictability in the raw material received at the facility, as well as temperature fluctuations and pH changes resulting from microbiological processes. Consequently, it is necessary to implement constant monitoring and control measures for higher biogas production. The challenges associated with anaerobic digestion (AD) systems can be effectively addressed through the integration of advanced machine learning (ML) algorithms and industry 4.0 systems within biogas facilities. This integration holds the potential to enhance system efficiency and enable on-site control capabilities. Machine learning (ML) based solutions have the potential to enhance process performance in AD facilities, leading to improved system operation and maintenance. The present study focuses on advanced ML techniques, specifically time series algorithms (ARIMA and SARIMAX), which have been employed to forecast daily biogas production. These algorithms are trained to discern critical process parameters and forecast daily biogas production rates, measured in Liters. For forecasting, 117 days of experimental data were used and ARIMA was identified as the best algorithm to forecast the daily production. This algorithm excelled not only in predicting biogas production but also in forecasting yield, resulting in a Root Mean Square Error (RMSE) of 3.26. Furthermore, a comparison between the forecasted values of both ARIMA and SARIMAX was conducted. The predictive ARIMA model underwent statistical validation with unknown data, resulting in a P-value is >0.05.

Explanation of the Research in Layperson’s Terms

This paper focuses on predicting future biogas production using advanced mathematical methods. The researchers used data collected over 117 days of biogas experiments, divided into three periods. They kept track of important factors like methane production, consumed volatile solids, methane percentage in biogas, and initial and final pH levels. To make the predictions more accurate, the researchers addressed missing data and fine-tuned certain parameters using a process called hyperparameter tuning. They wanted to find the best settings for the mathematical models they used, which are called ARIMA and SARIMAX. These models consider patterns and relationships in the data to make predictions. The researchers checked their models’ using measures like AIC and BIC values and examined certain plots to ensure they were getting good results. After applying the models to the data, they were able to predict future biogas production. The accuracy of their predictions was assessed using a metric called RMSE, and they found values of 3.26 for ARIMA and 24.02 for SARIMAX. In simpler terms, these values help us understand how close their predictions were to the actual values. The researchers also did some statistical analysis, and the results showed that both methods (ARIMA and SARIMAX) were equally good at predicting biogas production. Therefore, they concluded that these mathematical models are reliable tools for forecasting biogas production in the future.

Practical Implementation/ Social Implications of the Research

The integration of advanced machine learning (ML) algorithms and Industry 4.0 systems within anaerobic digestion (AD) facilities holds significant promise in addressing the challenges associated with process instability and unpredictability in biogas production. The utilization of ML techniques, particularly time series algorithms like ARIMA (AutoRegressive Integrated Moving Average) and SARIMAX (Seasonal AutoRegressive Integrated Moving Average with eXogenous factors), to forecast daily biogas production presents a practical solution to enhance system efficiency and control.

• Real-time Decision Making
• Reduced Operational Costs

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The rate of inflation has been termed to be directly proportionate to economic activity, with the increase in economic activity leading to higher levels of inflation. Central Banks have used this relationship to formulate interest rates and understand the inflation–unemployment dynamics in many countries. Dr Adviti Devaguptapu, Assistant Professor from the Department of Economics, has published an interesting study in her paper titled “Phillips Curve in Canada: A Tale of Import Tariff and Global Value Chain”, where she examines the relationship between inflation-economic activity in Canada to better understand the correlation between inflation and unemployment rates.

Abstract

The paper examines the Phillips curve for Canada from June 1976 to October 2022 in a time-varying manner. The findings reveal that the impulse response of inflation to the changes in the unemployment rate gap has reduced over time till 2010 and strengthened thereafter. The response of inflation to the changes in the unemployment rate gap has increased in short and medium horizons after 2010. On further examination, it is found that the changes in both average import tariff and forward participation in the global value chain have reduced the inflation response to the changes in the unemployment rate gap.

Social Implications of the Research

Inflation-targeting central banks should have to put more (less) effort into achieving price stability in the medium run when the change in the level of inflation to the changes in the unemployment rate gap is more (less).

Dr Adviti’s research works towards developing quality-adjusted inflation in India – the need for it and the challenges in recording it.

Link to the article

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The Department of Environmental Science and Engineering is thrilled to share the exciting news regarding its upcoming 1st International Conference on Advances in Environmental Sustainability, Energy, and Earth Science (AESEE 2024). The Department of Water Resources, River Development, & Ganga Rejuvenation (DoWR, RD & GR), the Ministry of Jal Shakti, have generously sanctioned Rs. 5 lakhs to support this groundbreaking event.

The International Conference scheduled to take place from March 14 – 16, 2024 aims to explore innovative advancements in science and technology while promoting inclusive growth across various sectors. This collaborative approach between environmentalists and the academic community will ensure a sustainable future.

The financial grant sanctioned in this regard underscores the importance of AESEE 2024 and highlights the commitment of the Department to advancing knowledge in the field. AESEE 2024 promises to facilitate meaningful discussions, bringing together diverse stakeholders to contribute to a more sustainable and interconnected future.

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